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@article{173363,
author = {Ashish Shashwat and Dr. Abhinav Mishra},
title = {Shaping The Workforce : Future Implications of AI & Data Analytics in Human Resources},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {10},
pages = {612-630},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=173363},
abstract = {As companies compete to stay ahead in a rapidly digitalizing world, the use of artificial intelligence (AI) and data analytics in human resources (HR) has become a strategic imperative. This research examines the revolutionary effect of AI-based tools on recruitment, performance management, workforce planning, and employee engagement. AI-based systems are transforming talent acquisition by screening resumes automatically, carrying out initial interviews, and using predictive analytics to improve candidate selection. Besides, AI-based performance measurement systems eliminate subjectivity and enhance decision-making with data-backed insights. Nonetheless, the use of these technologies comes with challenges such as algorithmic bias, data privacy, and regulatory issues.
This study utilizes a mixed-methods strategy, integrating surveys, interviews, and secondary data analysis to measure AI adoption in HR practices. The report suggests that AI improves recruitment efficiency, workforce optimization, and predictive talent management dramatically but also causes ethical issues surrounding transparency and fairness. The study emphasizes the imperative of robust governance frameworks to alleviate biases and assure ethical AI usage in HR. Further research needs to identify the future role of HR professionals, how AI is changing the dynamics of the workforce, and how to implement a people-focused strategy for AI-based HR management.},
keywords = {Human Resources, Artificial Intelligence, Data Analytics, Workforce Transformation, Predictive Analytics, Ethical AI},
month = {March},
}
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